Jigsaw. We follow [1]} to design the self-supervised task Jigsaw. The input image is divided into nine patches and shuffled according to one of 1,000 preset permutations. The objective is to classify which permutation is used. This task's inclusion is inspired by a recent work [2]} that explores neural architecture search without using labels.
